Sistem Pendukung Keputusan Penulis Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Evaluation based on Distance from Average Solution (EDAS)

Business owners of coffee shops that fall under the Micro, Small, and Medium Enterprises (MSMEs) employ marketing methods to attract more clients to satisfy the demands and preferences of coffee enthusiasts. However, consumer purchasing behavior demonstrates the difficulty in evaluating marketing performance. In light of this, this study employs the Distance from Average Solution Evaluation Method (EDAS). Meanwhile, coffee shop business brands observed and used as alternatives in this study are Coffee Tanem, 1915 Koffie-Huis, Friends of Coffee Salatiga, Dusk Koffie Salatiga, and Street Side Coffee Salatiga. The results of this study show that the EDAS method can be used to optimize coffee shop business services and marketing as a strategic step in strengthening and improving the performance of the coffee shop business or business. In the context of testing the EDAS decision model, each alternative is assigned a random code (A1-A5). Coffee varieties (C1), aroma and roasted level (C2), serving technique variants (C3), beverage prices (C4), and coffeeshop locations (C5) are often employed as criteria, with categories C1–C3 representing advantages, and C4–C5 representing expenses. Based on the EDAS method's calculation results, it can be seen that the top-ranking coffee shops are those that offer a variety of coffee bean varieties (robusta and arabica), various aromas, and roasted levels (light, medium, dark), various serving methods using espresso machines and manual brew, affordable drink prices, and strategically located coffee shops with enough parking. Thus, it is advised that coffee shop business experts assist in improving capital capabilities and business performance and optimize marketing mix components in STP (Segmenting, Targeting, Positioning) marketing strategies to increase trust, sales volume, consumer satisfaction, and loyalty.

Section: Hasil Dan Pembahasanunclassified

Penerapan Metode Evaluation based on Distance from Average Solution (EDAS) dalam Optimalisasi Layanan dan Pemasaran Coffeeshop

Singgalen

2023

“…Penelitian yang telah dikupas oleh putri mandarani, dkk pada tahun 2022 membahas mengenai penulis terbaik dengan menerapkan metode EDAS dan pembobotan ROC. Dimana penelitian ini menghasilkan alternated yang layak menjadi penulis terbaik dengan total nilai 0.185563121 [15].…”

Section: Pendahuluanunclassified

Analisis Dalam Pendukung Keputusan Penerimaan Supervisor Industri Manufacturing dengan Menerapkan Metode EDAS dan Pembobotan ROC

Sudarsono,

Ahyuna,

Winarko

et al. 2023

Manufacturing industry supervisor is one of the jobs engaged in processing raw goods into whole or semi-finished goods. Honest and responsible supervisors in the company are needed. Therefore, the company is opening the acceptance of supervisors who have a high responsible spirit. However, in accepting supervisors is not an easy thing because finding people who really have a high leadership spirit and are responsible is not an easy thing, therefore a system is needed that can help the company find a decision. The system is a decision support system and in finding these decisions several criteria are needed including Education, Experience, Leadership Ability, Good Interpersonal and Responsibility. And also in order to get accurate results that deserve to be supervisors can use methods where researchers use EDAS methods and ROC weighting. So in the research conducted by the author obtained the highest ranking found in alternative AD7 on behalf of Bambang with a total value of 1,00000 who was selected to be a supervisor of the manufacturing industry with complete requirements and the highest value.

“…Selain itu, Priyono et al menunjukkan bahwa metode EDAS memiilki enam tahapan yaitu membuat matriks keputusan, mencari rata-rata pada setiap alternatif, mencari rata-rata jarak positif dan negatif, mencari penilaian jarak positif dan negatif, mencari normalisasi bobot jarak positif dan negative, serta mencari penetapan skor [4]. Adapun, Mandarani et al menunjukkan bahwa metode EDAS dapat dikombinasikan dengan metode Ranking of Centroid (ROC) dalam menentukan kriteria, kriteria yang diprioritaskan, dan bobot kriteria [5]. Model pendukung keputusan EDAS dapat dikembangkan menjadi aplikasi yang mendukung pengambilan keputusan dalam menentukan pilihan terbaik [6].…”

Section: Pendahuluanunclassified

Perbandingan Metode ARAS dan EDAS dalam Menghasilkan Rekomendasi Layanan Akomodasi Hotel

Singgalen

2023

This study compares the decision support model Additive Ratio Assessment (ARAS) and Evaluation based on Distance from Average Solution (EDAS) in selecting hotels in Semarang City. Meanwhile, the criterion-setting method adopts the Ranking of Centroid (ROC) to set criteria, determine the priority of criteria, and determine the weight of the criteria values. Comparison of the two algorithms needs to be done to compare the results and test the performance of the two algorithms, when developed into a decision support application to generate hotel service recommendations. Meanwhile, the stages in this research are as follows: data collection stage, using TripAdvisor; data processing stage, using ARAS and EDAS models; and data analysis stage. The results of this study show that the ranking results based on the EDAS method show that A1 occupies the first position with an NSP value of 1,000 and an NSN of 0,983. Furthermore, A3 occupies the second position with an NSP value of 0.707 and an NSN of 0.983. Meanwhile, A2 occupies the third position with an NSP value of 0.311 and an NSN of 0.983. Furthermore, the ARAS method ranking results show that A1 occupies the first position with a Si value of 0.171 and a Ki value of 0.994. Furthermore, A3 occupies the second position with a Si value of 0.169 and a Ki value of 0.984. Meanwhile, A2 occupies the third position with a Si value of 0.167 and a Ki value of 0.970. Based on the comparison of EDAS and ARAS methods, it can be seen that both produce the same alternative ranking where Padma Hotel Semarang ranks first, Aruss Hotel Semarang ranks second, and Tentrem Hotel Semarang ranks third. Thus, it can be seen that EDAS and ARAS methods can produce the best hotel recommendations for travelers by considering ratings and reviews on the TripAdvisor platform.